On the dynamics of jet wiping: Numerical simulations and modal analysis

Barreiro-Villaverde, David; Gosset, Anne; Mendez, Miguel Alfonso

doi:10.1063/5.0051451

Cited by 21 publications

(10 citation statements)

References 68 publications

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“…The numerical model was based on the Volume of Fluid (VOF) technique, to account for the two-phase nature of the problem, and Large Eddy Simulation (LES) for the treatment of turbulence in the gas jet. Its complete validation has recently been published [2].…”

Section: Methodsmentioning

confidence: 99%

Numerical Simulations and Modal Analysis to Investigate the Defects in a Coating Process

Barreiro-Villaverde

Lema

Gosset

2021

The 4th XoveTIC Conference

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This work investigates the hydrodynamics of jet wiping, a coating process in which a thin slot gas jet impinges on a coating film dragged by a moving strip; thus, reducing the coating thickness and developing a run-back flow. The interaction between the liquid film and the gas jet is highly unsteady, producing long-wavelength defects on the final product known as undulations. We perform Computational Fluid Dynamics (CFD) simulations of the process using High-Performance Computing (HPC) resources. A multi-scale modal analysis is then applied to decrypt the mechanism of wave formation. The main undulation pattern features two-dimensional waves and is correlated with a large-scale motion of the gas jet.

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Section: Methodsmentioning

confidence: 99%

Numerical Simulations and Modal Analysis to Investigate the Defects in a Coating Process

Barreiro-Villaverde

Lema

Gosset

2021

The 4th XoveTIC Conference

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“…A snapshot of the velocity field is shown in Figure 4(a), together with the location of three probes. This configuration is inherently multiscale and was chosen as a benchmark for the multiscale POD (see also Barreiro-Villaverde et al (2021); Esposito et al (2021); Ninni and Mendez (2020)).…”

Section: Test Case 3: An Impinging Jet Flowmentioning

confidence: 99%

Linear and Nonlinear Dimensionality Reduction from Fluid Mechanics to Machine Learning

Mendez¹

2022

Preprint

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Dimensionality reduction is the essence of many data processing problems, including filtering, data compression, reduced-order modeling and pattern analysis. While traditionally tackled using linear tools in the fluid dynamics community, nonlinear tools from machine learning are becoming increasingly popular. This article, halfway between a review and a tutorial, introduces a general framework for linear and nonlinear dimensionality reduction techniques. Differences and links between autoencoders and manifold learning methods are highlighted, and popular nonlinear techniques such as kernel Principal Component Analysis (kPCA), isometric feature learning (ISOMAPs) and Locally Linear Embedding (LLE) are placed in this framework. These algorithms are benchmarked in three classic problems: 1) filtering, 2) identification of oscillatory patterns, and 3) data compression. Their performances are compared against the traditional Proper Orthogonal Decomposition (POD) to provide a perspective on their diffusion in fluid dynamics.

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“…Recently, integral models have been extended by Mendez et al (2021) to the problem of liquid films evolving on a moving substrate in the presence of pressure gradient and shear stress at the interface. This configuration is encountered in the jet wiping process in hot-dip galvanization (Buchlin, J.M., 1997;Mendez et al, 2019), and integral models allowed for analyzing the response of the liquid film to various disturbances in the process (see also Hocking et al (2010), and Barreiro-Villaverde et al (2021)). Although the configuration was limited to 2D models, the simulations suggest that thin films are remarkably more stable on an upward-moving substrate than on a fixed one.…”

Section: Introductionmentioning

confidence: 99%

Evolution of waves in liquid films on moving substrates

Ivanova¹,

Pino²,

Scheid³

et al. 2022

Preprint

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Accurate and computationally accessible models of liquid film flows allow for optimizing coating processes such as hot-dip galvanization and vertical slotdie coating. This paper extends the classic three-dimensional integral boundary layer (IBL) model for falling liquid films to account for a substrate motion. We analyze the stability of the liquid films on vertically moving substrates in a linear and a nonlinear setting. In the linear analysis, we derive the dispersion relation and the temporal growth rates of an infinitesimal disturbance using normal modes and linearized governing equations. In the nonlinear analysis, we consider disturbances of finite size and numerically compute their evolution using the complete set of nonlinear equations. We present the region of (linear) stability of both conditions, and we place the operating conditions of an industrial galvanizing line in these maps. A wide range of flow conditions were analyzed and shown to be stable according to both linear and nonlinear stability analysis. Moreover, the nonlinear analysis, carried out in the absence of surface tension reveals a nonlinear stabilizing mechanism for the interface dynamics of a liquid films dragged by an upward-moving substrate.

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On the dynamics of jet wiping: Numerical simulations and modal analysis

Cited by 21 publications

References 68 publications

Numerical Simulations and Modal Analysis to Investigate the Defects in a Coating Process

Numerical Simulations and Modal Analysis to Investigate the Defects in a Coating Process

Linear and Nonlinear Dimensionality Reduction from Fluid Mechanics to Machine Learning

Evolution of waves in liquid films on moving substrates

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